Reduce ML Model Training Job startup time by up to 8x using SageMaker Training Managed Warm Pools

We are excited to announce that Amazon SageMaker Model Training now supports SageMaker Training Managed Warm Pools. Users can now opt in to keep their machine learning (ML) model training hardware instances warm for a specified duration of time after the job completes. Using this feature, customers can do iterative experimentation or run consecutive jobs at scale for model training on the same warm instances, with up to 8x reduction reduction in job startup latency.

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